class_docstr: Computes LR as minimum of 1/beta and 1/(gamma * step) at each step.
  
  This is a required step for privacy guarantees.
docstr: De initialize post fit, as another fit call may use other parameters.
docstr_tok: ["De","initialize","post","fit",",","as","another","fit","call","may","use","other","parameters","."]
code: def de_initialize(self):
      """De initialize post fit, as another fit call may use other parameters."""
      self.is_init = False
      self.beta = None
      self.gamma = None
  
imports: import tensorflow.compat.v1
  from tensorflow.compat.v1.python.keras.optimizer_v2 import optimizer_v2
  from tensorflow.compat.v1.python.ops import math_ops
  from tensorflow_privacy.privacy.bolt_on.losses import StrongConvexMixin
label_desc: Use image node_id 5 for calling the GammaBetaDecreasingStep obj's underlying member method code with example usage: obj.de_initialize() without return types